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A Comprehensive Systematic Review: Advancements in Skin Cancer Classification and Segmentation Using the ISIC Dataset

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Computer Modeling in Engineering & sciences 2024年第9期140卷 2131-2164页

作者： Madiha Hameed Aneela Zameer Muhammad Asif Zahoor Raja Department of Computer sciences Pakistan Institute of Engineering and Applied SciencesNilore50700Islamabad future technology research center National Yunlin University of Science and TechnologyDouliou64002TaiwanChina Directorate of IT Services University of GujratGujrat50700Pakistan

The International Skin Imaging Collaboration(ISIC)datasets are pivotal resources for researchers in machine learning for medical image analysis,especially in skin cancer *** datasets contain tens of thousands of dermoscopic photographs,each accompanied by gold-standard lesion diagnosis *** challenges associated with ISIC datasets have spurred significant advancements,with research papers reporting metrics surpassing those of human *** cancers are categorized into melanoma and non-melanoma types,with melanoma posing a greater threat due to its rapid potential for metastasis if left *** paper aims to address challenges in skin cancer detection via visual inspection and manual examination of skin lesion images,processes historically known for their *** notable advancements in machine learning and deep learning models,persistent challenges remain,largely due to the intricate nature of skin lesion *** review research on convolutional neural networks(CNNs)in skin cancer classification and segmentation,identifying issues like data duplication and augmentation *** explore the efficacy of Vision Transformers(ViTs)in overcoming these challenges within ISIC dataset *** leverage their capabilities to capture both global and local relationships within images,reducing data duplication and enhancing model ***,ViTs alleviate augmentation issues by effectively leveraging original *** a thorough examination of ViT-based methodologies,we illustrate their pivotal role in enhancing ISIC image classification and *** study offers valuable insights for researchers and practitioners looking to utilize ViTs for improved analysis of dermatological ***,this paper emphasizes the crucial role of mathematical and computational modeling processes in advancing skin cancer detection methodologies,highlighting their significance in improving algorithmic

关键词： Medical image skin cancer classification skin cancer segmentation international skin imaging collaboration convolutional neural network deep learning

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Design of an Efficient and Provable Secure Key Exchange Protocol for HTTP Cookies

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Computers, Materials & Continua 2024年第7期80卷 263-280页

作者： Waseem Akram Khalid Mahmood Hafiz Burhan ul Haq Muhammad Asif Shehzad Ashraf Chaudhry Taeshik Shon Graduate School of Engineering science and technology National Yunlin University of Science and TechnologyYunlin64002TaiwanChina future technology research center National Yunlin University of Science and TechnologyYunlin64002TaiwanChina Department of Computer science Lahore Garrison UniversityLahore54920Pakistan Department of Computer science and Information technology College of EngineeringAbu Dhabi UniversityAbu Dhabi69911United Arab Emirates Department of Software Engineering Faculty of Engineering and ArchitectureNisantasi UniversityIstanbul34398Turkey Department of Cybersecurity Ajou UniversitySuwon16499Republic of Korea

Cookies are considered a fundamental means of web application services for authenticating various Hypertext Transfer Protocol(HTTP)requests andmaintains the states of clients’information over the *** cookies are exploited to carry client patterns observed by a *** client patterns facilitate the particular client’s future visit to the corresponding ***,security and privacy are the primary concerns owing to the value of information over public channels and the storage of client information on the *** protocols have been introduced that maintain HTTP cookies,but many of those fail to achieve the required security,or require a lot of resource *** this article,we have introduced a lightweight Elliptic Curve Cryptographic(ECC)based protocol for authenticating client and server transactions to maintain the privacy and security of HTTP *** proposed protocol uses a secret key embedded within a *** proposed protocol ismore efficient and lightweight than related protocols because of its reduced computation,storage,and communication ***,the analysis presented in this paper confirms that proposed protocol resists various known attacks.

关键词： Cookies authentication protocol impersonation attack ECC

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Smart Anti-Pinch Window Simulation Using H_/H_(∞)Criterion and MOPSO

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Computers, Materials & Continua 2022年第7期72卷 215-226页

作者： Maedeh Mohammadi Azni Mohammad Ali Sadrnia Shahab S.Band Zulkefli Bin Mansor Department of Electrical and Robotics Engineering Shahrood University of TechnologySemnanIran future technology research center College of FutureNational Yunlin University of Science and Technology 123 University RoadSection 3DouliouYunlin64002Taiwan Faculty of Information science and technology Universiti Kebangsan Malaysia43600UKM BangiSelangorMalaysia

Automobile power windows are mechanisms that can be opened and shut with the press of a *** these windows can comfort the effort of occupancy to move the window,failure to recognize the person’s body part at the right time will result in damage and in some cases,loss of that *** anti-pinch mechanism is an excellent choice to solve this problem,which detects the obstacle in the glass path immediately and moves it *** this paper,an optimal solution H_/H_(∞)is presented for fault detection of the anti-pinch window *** anti-pinch makes it possible to detect an obstacle and prevent damages through sampling parameters such as current consumption,the speed and the position of DC *** this research,a speed-based method is used to detect the *** order to secure the anti-pinch window,an optimal algorithm based on a fault detection observer is *** the residual design,the proposed fault detection algorithm uses theDCmotor angular velocity *** against disturbances and sensitivity to the faults are considered as an optimization problem based on Multi-Objective Particle Swarm Optimization ***,an optimal filter for solving the fault problem is designed using the H_/H_(∞)*** results show that the simulated anti-pinch window is pretty sensitive to the fault,in the sense that it can detect the obstacle in 50 ms after the fault occurrence.

关键词： H_/H_(∞) anti-pinch residual fault detection multi-objective particle swarm optimization(MOPSO) multi-objective optimization automotive power windows electric windows

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Infection with SARS-CoV-2 can cause pancreatic impairment

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Signal Transduction and Targeted Therapy 2024年第5期9卷 2143-2160页

作者： Wei Deng Linlin Bao Zhiqi Song Ling Zhang Pin Yu Yanfeng Xu Jue Wang Wenjie Zhao Xiuqin Zhang yunlin Han Yanhong Li Jiangning Liu Qi Lv Xujian Liang Fengdi Li Feifei Qi Ran Deng Siyuan Wang Yibai Xiong Ruiping Xiao Hongyang Wang Chuan Qin NHC Key Laboratory of Comparative Medicine Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious DiseasesInstitute of Laboratory Animal ScienceChinese Academy of Medical Sciences and Comparative Medicine CenterPeking Union Medical CollegeBeijing 100021China Institute of Molecular Medicine College of Future TechnologyPeking UniversityBeijing 100871China Beijing Key Laboratory of Cardiometabolic Molecular Medicine Peking UniversityBeijing 100871China State Key Laboratory of Biomembrane and Membrane Biotechnology Peking-Tsinghua Center for Life SciencesBeijing 100871China Chinese Academy of Engineering Eastern Hepatobiliary Surgery Hospital225 Changhai RoadYangpu DistrictShanghai 200438China International Co-operation Laboratory on Signal Transduction Eastern Hepatobiliary Surgery InstituteSecond Military Medical UniversityShanghai 200438PR China national Laboratory for Oncogenes and Related Genes Cancer Institute of Shanghai Jiao Tong UniversityShanghai 200441PR China Changping national laboratory(CPNL) Beijing 102206China State Key Laboratory of Respiratory Health and Multimorbidity National Health Commission of the People’s Republic of ChinaBeijingPR China

Evidence suggests associations between COVID-19 patients or vaccines and glycometabolic dysfunction and an even higher risk of the occurrence of ***,we retrospectively analyzed pancreatic lesions in autopsy tissues from 67 SARS-CoV-2 infected non-human primates(NHPs)models and 121 vaccinated and infected NHPs from 2020 to 2023 and COVID-19 ***-label immunofluorescence revealed direct infection of both exocrine and endocrine pancreatic cells by the virus in NHPs and *** and limited phenotypic and histopathological changes were observed in adult *** proteomics and metabolomics results indicated metabolic disorders,mainly enriched in insulin resistance pathways,in infected adult NHPs,along with elevated fasting C-peptide and C-peptide/glucose ratio ***,in elder COVID-19 NHPs,SARS-CoV-2 infection causes loss of beta(β)cells and lower expressed-insulin in situ characterized by islet amyloidosis and necrosis,activation ofα-SMA and aggravated fibrosis consisting of lower collagen in serum,an increase of pancreatic inflammation and stress markers,ICAM-1 and G3BP1,along with more severe glycometabolic *** contrast,vaccination maintained glucose homeostasis by activating insulin receptorαand insulin receptorβ.Overall,the cumulative risk of diabetes post-COVID-19 is closely tied to age,suggesting more attention should be paid to blood sugar management in elderly COVID-19 patients.

关键词： infected elevated homeostasis

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6G-Enabled Internet of Things:Vision,Techniques,and Open Issues

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Computer Modeling in Engineering & sciences 2022年第12期133卷 509-556页

作者： Mehdi Hosseinzadeh Atefeh Hemmati Amir Masoud Rahmani Pattern Recognition and Machine Learning Lab Gachon UniversitySeongnam13120Korea Department of Computer Engineering Science and Research BranchIslamic Azad UniversityTehran***Iran future technology research center National Yunlin University of Science and TechnologyYunlin64002Taiwan

There are changes in the development of wireless technology systems every decade.6G(sixth generation)wireless networks improve on previous generations by increasing dependability,accelerating networks,increasing available bandwidth,decreasing latency,and increasing data transmission speed to standardize communication *** purpose of this article is to comprehend the current directions in 6G studies and their relationship to the Internet of Things(IoT).Also,this paper discusses the impacts of 6G on IoT,critical requirements and trends for 6G-enabled IoT,new service classes of 6G and IoT technologies,and current 6G-enabled IoT studies selected by the systematic literature review(SLR)method published from 2018 to *** addition,we present a technical taxonomy for the classification of 6G-enabled IoT,which includes self-organization systems,energy efficiency,channel assessment,and ***,according to the articles reviewed,we consider the evaluation factors in this domain,including data transmission,delay,energy consumption,and ***,we focus on open issues and future research challenges in 6G-enabled *** mention important future challenges and directions,we can point to migration,data storage,data resource,data security,data sharing,data offloading,availability,scalability,portability,user experience,reliability,authentication,and authorization.

关键词： Internet of Things 6G wireless network machine learning artificial intelligence

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Transforming Hand Drawn Wireframes into Front-End Code with Deep Learning

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Computers, Materials & Continua 2022年第9期72卷 4303-4321页

作者： Saman Riaz Ali Arshad Shahab S.Band Amir Mosavi Department of Computer science National University of TechnologyIslamabad44000Pakistan Department of Computer science Institute of Space TechnologyIslamabad44000Pakistan future technology research center National Yunlin University of Science and TechnologyDouliu64002YunlinTaiwan Faculty of Civil Engineering Technische Universitat DresdenDresden 01069Germany

The way towards generating a website front end involves a designersettling on an idea for what kind of layout they want the website to have, thenproceeding to plan and implement each aspect one by one until they haveconverted what they initially laid out into its Html front end form, this processcan take a considerable time, especially considering the first draft of the designis traditionally never the final one. This process can take up a large amountof resource real estate, and as we have laid out in this paper, by using a Modelconsisting of various Neural Networks trained on a custom dataset. It can beautomated into assisting designers, allowing them to focus on the other morecomplicated parts of the system they are designing by quickly generating whatwould rather be straightforward busywork. Over the past 20 years, the boomin how much the internet is used and the sheer volume of pages on it demands ahigh level of work and time to create them. For the efficiency of the process, weproposed a multi-model-based architecture on image captioning, consisting ofConvolutional neural network (CNN) and Long short-term memory (LSTM)models. Our proposed approach trained on our custom-made database can beautomated into assisting designers, allowing them to focus on the other morecomplicated part of the system. We trained our model in several batches overa custom-made dataset consisting of over 6300 files and were finally able toachieve a Bilingual Evaluation Understudy (BLEU) score for a batch of 50hand-drawn images at 87.86%.

关键词： Deep learning wireframes front-end low fidelity high fidelity design process html computer vision dsl

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Swarming Computational Efficiency to Solve a Novel Third-Order Delay Differential Emden-Fowler System

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Computers, Materials & Continua 2022年第12期73卷 4833-4849页

作者： Wajaree Weera Zulqurnain Sabir Muhammad Asif Zahoor Raja Sakda Noinang Thongchai Botmart Department of Mathematics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand Department of Mathematics and Statistics Hazara UniversityMansehraPakistan future technology research center National Yunlin University of Science and Technology123 University RoadSection 3DouliouYunlin64002Taiwan Department of Mathematics Statistics and Computer Faculty of ScienceUbon Ratchathani UniversityUbon Ratchathani34190Thailand

The purpose of this research is to construct an integrated neuro swarming scheme using the procedures of the artificial neural networks(ANNs)with the use of global search particle swarm optimization(PSO)along with the competent local search interior-point programming(IPP)called as *** proposed computational scheme is implemented for the numerical simulations of the third order nonlinear delay differential Emden-Fowler model(TON-DD-EFM).The TON-DD-EFM is based on two types along with the particulars of shape factor,delayed terms,and singular points.A merit function is performed using the optimization of PSOIPP to find the solutions to the *** effectiveness of the ANN-PSOIPP is certified through the comparison with the exact results for solving four examples of the *** scheme’s efficiency is observed by performing the absolute error in suitable measures found around 10−04 to 10−***,the statistical-based assessments for 100 trials are provided to compute the accuracy,stability,and constancy of the ANNPSOIPP for solving the TON-DD-EFM.

关键词： Third-order nonlinear emden-fowler system artificial neural network statistical results particle swarm optimization numerical experimentations local search programming

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Deep Bimodal Fusion Approach for Apparent Personality Analysis

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Computers, Materials & Continua 2023年第4期75卷 2301-2312页

Personality distinguishes individuals’ patterns of feeling, thinking,and behaving. Predicting personality from small video series is an excitingresearch area in computer vision. The majority of the existing research concludespreliminary results to get immense knowledge from visual and Audio(sound) modality. To overcome the deficiency, we proposed the Deep BimodalFusion (DBF) approach to predict five traits of personality-agreeableness,extraversion, openness, conscientiousness and neuroticism. In the proposedframework, regarding visual modality, the modified convolution neural networks(CNN), more specifically Descriptor Aggregator Model (DAN) areused to attain significant visual modality. The proposed model extracts audiorepresentations for greater efficiency to construct the long short-termmemory(LSTM) for the audio modality. Moreover, employing modality-based neuralnetworks allows this framework to independently determine the traits beforecombining them with weighted fusion to achieve a conclusive prediction of thegiven traits. The proposed approach attains the optimal mean accuracy score,which is 0.9183. It is achieved based on the average of five personality traitsand is thus better than previously proposed frameworks.

关键词： Apparent personality analysis deep bimodal fusion convolutional neural network long short-term memory bimodal information fusion approach

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A Stochastic Study of the Fractional Order Model of Waste Plastic in Oceans

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Computers, Materials & Continua 2022年第11期73卷 4441-4454页

作者： Muneerah Al Nuwairan Zulqurnain Sabir Muhammad Asif Zahoor Raja Maryam Alnami Hanan Almuslem Department of Mathematics and Statistics College of ScienceKing Faisal UniversityP.O.Box 400Al-Ahsa31982Saudi Arabia Department of Mathematics and Statistics Hazara UniversityMansehraPakistan future technology research center National Yunlin University of Science and TechnologyDouliouYunlin64002Taiwan

In this paper,a fractional order model based on the management of waste plastic in the ocean(FO-MWPO)is numerically *** mathematical form of the FO-MWPO model is categorized into three components,waste plastic,Marine debris,and *** stochastic numerical solvers using the Levenberg-Marquardt backpropagation neural networks(LMQBP-NNs)have been applied to present the numerical solutions of the FO-MWPO *** competency of the method is tested by taking three variants of the FO-MWPO model based on the fractional order *** data ratio is provided for training,testing and authorization is 77%,12%,and 11%*** exactness of LMQBP-NNs is observed by using the comparative performances of the obtained and the Adams-BashforthMoulton *** verify the competence,validity,capability,exactness,and consistency of LMQBP-NNs,the performances have been obtained using the regression,state transitions,error histograms,correlation and mean square error.

关键词： Fractional order ocean Adams-Bashforth-Moulton LevenbergMarquardt backpropagation numerical solutions

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Stochastic Investigations for the Fractional Vector-Host Diseased Based Saturated Function of Treatment Model

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Computers, Materials & Continua 2023年第1期74卷 559-573页

作者： Thongchai Botmart Qusain Hiader Zulqurnain Sabir Muhammad Asif Zahoor Raja Wajaree Weera Department of Mathematics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand Department of Mathematics University of GujratGujrat50700Pakistan Department of Mathematics and Statistics Hazara UniversityMansehra21120Pakistan future technology research center National Yunlin University of Science and Technology123 University RoadSection 3Douliou64002YunlinTaiwan

The goal of this research is to introduce the simulation studies of the vector-host disease nonlinear system(VHDNS)along with the numerical treatment of artificial neural networks(ANNs)techniques supported by Levenberg-Marquardt backpropagation(LMQBP),known as *** mechanism is physically appropriate,where the number of infected people is increasing along with the limited health ***,the biological effects have fadingmemories and exhibit transition ***,the model is developed by considering the two and three categories for the humans and the vector *** VHDNS is constructed with five classes,susceptible humans Sh(t),infected humans Ih(t),recovered humans Rh(t),infected vectors Iv(t),and susceptible vector Sv(t)based system of the fractional-order nonlinear ordinary differential *** solve the number of variations of the VHDNS,the numerical simulations are performed using the stochastic *** achieved numerical solutions for solving the VHDNS using the stochastic ANNs-LMQBP have been described for training,verifying,and testing data to decrease the mean square error(MSE).An extensive analysis is provided using the correlation studies,MSE,error histograms(EHs),state transitions(STs),and regression to observe the accuracy,efficiency,expertise,and aptitude of the computing ANNs-LMQBP.

关键词： Nonlinear mathematical vector host disease model fractional order levenberg marquardt backpropagation neural network reference database

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